34 Problem Transformer Subject Sound Low Frequency EMFs Exposure Same physical mechanism! Exposure to both sound and LF EMFS Two measurements are necessary Can both be obtained from one measurement? 34

41 Design and optimization of RF coil for a minimal interference between PET and MRI subsystems Magnetic Resonance Imaging (MRI) Positron Emission Tomography (PET) Interferences between the components, mainly for the Radio Frequency (RF) system of the MRI Increased noise level for the RF system Image deterioration for the combined system Generation of eddy currents in PET conductive components Master Title thesis on MR compatibility 41

42 Design and optimization of RF coil for a minimal interference between PET and MRI subsystems Purpose 1. Design and optimize the RF coil to mitigate the effects of interferences due to insertion for PET/MRI system. 2. Design an optimized shielding mechanism for the RF subsystem while keeping eddy currents minimal Master Title thesis on MR compatibility 42

46 Investigation of head and local RF absorption in human head model within MRI/SPECT system New combined SPECT/MRI systems require compliance with the ICNIRP (independent researchers group) Energy absorption should be limited by controlling the Specific Absorption Rate (SAR) Head Title exposure to RF coils of the MR/SPECT system 46

47 Investigation of head and local RF absorption in human head model within MRI/SPECT system Purpose 1.Simulate the induced SAR in different 3D realistic human head models inside the SPECT/MRI system 2.Compare the head SAR and the local SAR with the basic restrictions levels for exposure at reference levels. Head Title exposure to RF coils of the MR/SPECT system 47

48 Investigation of head and local RF absorption in human head model within MRI/SPECT system Method 3D Electromagnetic solvers FDTD tool Hybrid MoM/ FEM tool Head Title exposure to RF coils of the MR/SPECT system 48

49 Investigation of head and local RF absorption in human head model within MRI/SPECT system Method Virtual Family models Head Title exposure to RF coils of the MR/SPECT system 49

54 Characterisation of propagation at frequencies for next-generation indoor wireless internet at gigabit speeds and development of QoS prediction module Goal Design of a 3D- network planning tool for QoS predictions at 60 GHz Characterisation and modelling of propagation characteristics Influence humans, objects on signal strength Influence reflections on walls Implementation of models in existing tool

55 Development of a cognitive decision engine for optimization of WiFi communication in the presence of interference Promotors Wout Joseph, Luc Martens Supervisors David Plets

56 Development of a cognitive decision engine for optimization of WiFi communication in the presence of interference Context Increase of WiFi interference due to rapid growth of the use of wireless networks Cognitive solutions required to automatically optimize the AP settings Transmit power Channel... based on observations in the network Observed power on different channels Channel occupation degree... 56

57 Development of a cognitive decision engine for optimization of WiFi communication in the presence of interference Goal Development of cognitive decision engine (CDE) Study on WiFi principe, become familiar with w-ilab-t testbed Perform set of experiments to simulate real-life environments Analyse and model the dependencies Propose CDE based on experiment results and models Test, validate, and refine CDE

65 Context Development of an exposure-aware Android app based on Android wearables Expansion of wireless communication Concerns on health effects of electromagnetic radiation Exposure depends on Location Application Technology Usage time Common man could use an application that shows his daily exposure to electromagnetic radiation 65

67 Development of an advanced Android monitoring system for WiFi networks Promotors Wout Joseph, Luc Martens Supervisors David Plets, Toon De Pessemier

68 Context Development of an advanced monitoring system for WiFi networks Usage of WiFi in industrial environments Harsh and changing environments Need for real-time monitoring and management of the wireless network Use of measurement nodes Problems These nodes are often not on the location of the user A large number of nodes is required Perform monitoring on the user device to obtain a broad, accurate, and real-time view of the network 68

85 Green Factory: Minimization of Industrial Energy Consumption by Production Scheduling Background The global industry leads to very high energy consumption Expenditure on energy consumption is becoming no longer negligible for industrial enterprises The electricity price has been tending to be volatile over time, making the industrial expenditure on electricity consumption even more uncontrolable The production activities on industrial machines/lines are usually scheduled in advance either manually or automatically, which provides high potential to control and minimize the industrial energy consumption by using computer-based intelligence 50% 40% 30% 20% 10% 0% Percentage of Industrial Energy Consumption Global USA Belgium Germany Australia Total energy consumption Electricity consumption Purpose To create advanced algorithms for automatically scheduling production activities, which take the volatile electricity price into consideration These algorithms are loadable into an internal memory of one or several digital computers, and executable for intelligently recommending an optimal production schedule Multiple optimization objectives: energy cost minimization, productivity maximization, etc. Master Title thesis on Green Factory 85

86 Green Factory: Minimization of Industrial Energy Consumption by Production Scheduling Methods State-of-the-art research of energy-price-aware production scheduling: papers, patents, and commercial off-the-shelf (COTS) software. This covers interdisciplinary research domains: industrial energy consumption, Smart Grid based electricity pricing mechanism, and production scheduling. Design and development of energy-price-aware production scheduling algorithms in Java a) building production scheduling models considering the energy consumption and energy price, and at different levels in the factory hierarchy. The scheduling models may additionally include machine resource, customer order, energy consumption data (provided by WiCa), etc. b) implementation of at least two different algorithms of multi-objective optimization, e.g., ant colony optimization (ACO), particle swarm optimization (PSO), artificial neural network (ANN), fuzzy logic, etc. Creation of different scenarios, performing of production scheduling, and visualisation of the production scheduing results Benchmarking the new production scheduling algorithms and the ones at WiCa Possibility to publish journal/conference papers based on the actual progress Master Title thesis on Green Factory 86

Settings for the C100BRS4 MAC Address Spoofing with cable Internet. General: Please use the latest firmware for the router. The firmware is available on http://www.conceptronic.net! Use Firmware version

Introduction Henk Schwietert Evalan develops, markets and sells services that use remote monitoring and telemetry solutions. Our Company Evalan develops hard- and software to support these services: mobile

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Free Electives (15 ects) Information about the Master RE&H (and the free electives) can be found at the following page: http://www.bk.tudelft.nl/en/about-faculty/departments/real-estate-and-housing/education/masterreh/free-electives/